CVE-2021-29553

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can read data outside of bounds of heap allocated buffer in `tf.raw_ops.QuantizeAndDequantizeV3`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/11ff7f80667e6490d7b5174aa6bf5e01886e770f/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L237) does not validate the value of user supplied `axis` attribute before using it to index in the array backing the `input` argument. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

How to fix CVE-2021-29553

To remediate CVE-2021-29553, upgrade the affected package to a fixed version below.

—upgrade to 2.1.4 or later
—upgrade to 2.1.4 or later
—upgrade to 99085e8ff02c3763a0ec2263e44daec416f6a387 or later
—upgrade to 99085e8ff02c3763a0ec2263e44daec416f6a387 or later
—upgrade to 2.1.4 or later
—upgrade to 99085e8ff02c3763a0ec2263e44daec416f6a387 or later
—upgrade to 2.1.4 or later

Is CVE-2021-29553 being exploited?

Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
from 0, < 2.1.4
from 0, < 99085e8ff02c3763a0ec2263e44daec416f6a387 | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
from 0, < 99085e8ff02c3763a0ec2263e44daec416f6a387 | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
from 0, < 2.1.4
from 0, < 99085e8ff02c3763a0ec2263e44daec416f6a387 | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
from 0, < 2.1.4

CVSS scores

Source	Version	Severity	Vector
osv	CVSS 4.0	—	CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
osv	CVSS 3.1	LOW2.5	CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L